{"id":"https://openalex.org/W2996745432","doi":"https://doi.org/10.1109/iecon.2019.8927828","title":"Enhancement of gross-motor action recognition for children by CNN with OpenPose","display_name":"Enhancement of gross-motor action recognition for children by CNN with OpenPose","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2996745432","doi":"https://doi.org/10.1109/iecon.2019.8927828","mag":"2996745432"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2019.8927828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2019.8927828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103055800","display_name":"Satoshi Suzuki","orcid":"https://orcid.org/0000-0003-1341-2808"},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Satoshi Suzuki","raw_affiliation_strings":["Graduate School of Advanced Science and Technology, Tokyo Denki University, 5 Senju, Adachi-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Advanced Science and Technology, Tokyo Denki University, 5 Senju, Adachi-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103831358","display_name":"Yukie Amemiya","orcid":null},"institutions":[{"id":"https://openalex.org/I158759429","display_name":"Japan Women's College of Physical Education","ror":"https://ror.org/01njgag08","country_code":"JP","type":"education","lineage":["https://openalex.org/I158759429"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukie Amemiya","raw_affiliation_strings":["Faculty of Sports and Health Science, Japan Women's College of Physical Education, 8-19-1 Kita-Karasuyama, Setagaya-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Sports and Health Science, Japan Women's College of Physical Education, 8-19-1 Kita-Karasuyama, Setagaya-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I158759429"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112513897","display_name":"Maiko Sato","orcid":null},"institutions":[{"id":"https://openalex.org/I158759429","display_name":"Japan Women's College of Physical Education","ror":"https://ror.org/01njgag08","country_code":"JP","type":"education","lineage":["https://openalex.org/I158759429"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Maiko Sato","raw_affiliation_strings":["Faculty of Sports and Health Science, Japan Women's College of Physical Education, 8-19-1 Kita-Karasuyama, Setagaya-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Sports and Health Science, Japan Women's College of Physical Education, 8-19-1 Kita-Karasuyama, Setagaya-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I158759429"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103055800"],"corresponding_institution_ids":["https://openalex.org/I165522056"],"apc_list":null,"apc_paid":null,"fwci":5.4212,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.95686088,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5382","last_page":"5387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12241","display_name":"Children's Physical and Motor Development","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12241","display_name":"Children's Physical and Motor Development","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12948","display_name":"Inclusion and Disability in Education and Sport","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gross-motor-skill","display_name":"Gross motor skill","score":0.8725560307502747},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.6601047515869141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6072970628738403},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5610285401344299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5246437191963196},{"id":"https://openalex.org/keywords/competence","display_name":"Competence (human resources)","score":0.46207502484321594},{"id":"https://openalex.org/keywords/clips","display_name":"CLIPS","score":0.44137507677078247},{"id":"https://openalex.org/keywords/motor-skill","display_name":"Motor skill","score":0.3891671895980835},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3571772575378418},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.28164076805114746},{"id":"https://openalex.org/keywords/developmental-psychology","display_name":"Developmental psychology","score":0.14279118180274963}],"concepts":[{"id":"https://openalex.org/C114735433","wikidata":"https://www.wikidata.org/wiki/Q5610504","display_name":"Gross motor skill","level":3,"score":0.8725560307502747},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.6601047515869141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6072970628738403},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5610285401344299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5246437191963196},{"id":"https://openalex.org/C100521375","wikidata":"https://www.wikidata.org/wiki/Q2015382","display_name":"Competence (human resources)","level":2,"score":0.46207502484321594},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.44137507677078247},{"id":"https://openalex.org/C169976356","wikidata":"https://www.wikidata.org/wiki/Q13208902","display_name":"Motor skill","level":2,"score":0.3891671895980835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3571772575378418},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.28164076805114746},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.14279118180274963},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon.2019.8927828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2019.8927828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"},{"score":0.4000000059604645,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W186419298","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1879216107","https://openalex.org/W2064675550","https://openalex.org/W2107357190","https://openalex.org/W2136800805","https://openalex.org/W2271838665","https://openalex.org/W2502928967","https://openalex.org/W2559085405","https://openalex.org/W2583372902","https://openalex.org/W2612706635","https://openalex.org/W2907018078","https://openalex.org/W2949117887","https://openalex.org/W2962835968","https://openalex.org/W4244455803","https://openalex.org/W6724585395"],"related_works":["https://openalex.org/W2938698191","https://openalex.org/W3087274204","https://openalex.org/W3004505825","https://openalex.org/W4382176560","https://openalex.org/W3036697914","https://openalex.org/W3011937018","https://openalex.org/W3008125917","https://openalex.org/W2091882691","https://openalex.org/W2166339224","https://openalex.org/W2134634350"],"abstract_inverted_index":{"Development":[0],"of":[1,41,88,101,112,114,118,125,159],"gross":[2,25,67],"motor":[3,26,68],"skills":[4],"during":[5],"the":[6,51,53,75,79,126,129,145,148,153],"preschool":[7],"period":[8],"is":[9],"significant":[10],"not":[11],"only":[12],"for":[13,18,78,96],"physical-psychological":[14],"benefits":[15],"but":[16],"also":[17],"social":[19],"participation.":[20],"Several":[21],"tests":[22],"to":[23,49,92,138],"evaluate":[24],"competence":[27],"in":[28,38,82],"child":[29],"have":[30,56],"been":[31,57],"established;":[32],"however,":[33],"those":[34],"are":[35],"hardly":[36],"utilized":[37],"Japan":[39],"because":[40],"staff":[42],"shortage":[43],"or":[44],"time":[45],"deficit.":[46],"In":[47],"order":[48],"improve":[50],"situation,":[52],"present":[54],"authors":[55],"studying":[58],"a":[59,66,102,123],"labor-saving":[60],"AI":[61],"assessment":[62],"system":[63],"based":[64],"on":[65],"action":[69],"recognition":[70],"(GM-AR).":[71],"This":[72],"paper":[73],"mentions":[74],"following":[76],"improvements":[77],"GM-AR":[80,115,150],"reported":[81],"authors'":[83],"previous":[84],"study:":[85],"1)":[86],"upgrading":[87],"an":[89],"assistant":[90],"app":[91],"prepare":[93],"data":[94],"set":[95],"GM-AR,":[97],"2)":[98],"automatic":[99],"adjustment":[100],"person":[103],"tracking":[104,130],"algorithm":[105],"after":[106],"skeleton":[107],"detection,":[108],"and":[109],"3)":[110],"improvement":[111],"accuracy":[113,164],"by":[116,165],"reconstruction":[117],"its":[119],"network":[120],"model.":[121],"As":[122],"result":[124],"above":[127,146],"second,":[128],"process":[131],"worked":[132],"correctly":[133],"with":[134,162],"98.8%":[135],"success":[136],"rate":[137],"about":[139],"600":[140],"short-cut":[141],"video":[142],"clips.":[143],"Concerning":[144],"third,":[147],"improved":[149],"could":[151],"classify":[152],"obtained":[154],"dataset":[155],"(including":[156],"13":[157],"kinds":[158],"GM":[160],"skills)":[161],"82.3%":[163],"stratified":[166],"8-fold":[167],"cross":[168],"validation.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6}],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-10-10T00:00:00"}
